use of org.wso2.siddhi.core.executor.ExpressionExecutor in project siddhi by wso2.
the class AttributeAggregator method cloneAggregator.
public AttributeAggregator cloneAggregator(String key) {
try {
AttributeAggregator attributeAggregator = this.getClass().newInstance();
ExpressionExecutor[] innerExpressionExecutors = new ExpressionExecutor[attributeSize];
for (int i = 0; i < attributeSize; i++) {
innerExpressionExecutors[i] = attributeExpressionExecutors[i].cloneExecutor(key);
}
attributeAggregator.elementId = elementId + "-" + key;
attributeAggregator.initAggregator(innerExpressionExecutors, siddhiAppContext, configReader);
return attributeAggregator;
} catch (Exception e) {
throw new SiddhiAppRuntimeException("Exception in cloning " + this.getClass().getCanonicalName(), e);
}
}
use of org.wso2.siddhi.core.executor.ExpressionExecutor in project siddhi by wso2.
the class AttributeAggregator method initAggregator.
public void initAggregator(ExpressionExecutor[] attributeExpressionExecutors, SiddhiAppContext siddhiAppContext, ConfigReader configReader) {
this.configReader = configReader;
try {
this.siddhiAppContext = siddhiAppContext;
this.attributeExpressionExecutors = attributeExpressionExecutors;
this.attributeSize = attributeExpressionExecutors.length;
if (elementId == null) {
elementId = "AttributeAggregator-" + siddhiAppContext.getElementIdGenerator().createNewId();
}
// Not added to Snapshotable as the AggregationAttributeExecutors are added
// siddhiAppContext.getSnapshotService().addSnapshotable(this);
init(attributeExpressionExecutors, configReader, siddhiAppContext);
} catch (Throwable t) {
throw new SiddhiAppCreationException(t);
}
}
use of org.wso2.siddhi.core.executor.ExpressionExecutor in project siddhi by wso2.
the class ExpressionBuilder method buildStreamVariableExecutor.
private void buildStreamVariableExecutor(Variable variable, int streamEventChainIndex, ExpressionVisitor expressionVisitor, Attribute.Type type) {
String id = variable.getAttributeName();
if (variable.getStreamId() != null) {
id = variable.getStreamId() + "." + id;
}
expressionVisitor.beginVisitStreamVariable(id, variable.getStreamId(), variable.getAttributeName(), type);
if (!variableExpressionExecutorMap.containsKey(id)) {
ExpressionExecutor variableExpressionExecutor = ExpressionParser.parseExpression(variable, matchingMetaInfoHolder.getMetaStateEvent(), streamEventChainIndex, tableMap, variableExpressionExecutors, siddhiAppContext, false, 0, queryName);
variableExpressionExecutorMap.put(id, variableExpressionExecutor);
}
expressionVisitor.endVisitStreamVariable(id, variable.getStreamId(), variable.getAttributeName(), type);
}
use of org.wso2.siddhi.core.executor.ExpressionExecutor in project siddhi by wso2.
the class AggregationParser method getFinalBaseAggregators.
private static List<Expression> getFinalBaseAggregators(SiddhiAppContext siddhiAppContext, Map<String, Table> tableMap, List<VariableExpressionExecutor> incomingVariableExpressionExecutors, String aggregatorName, MetaStreamEvent incomingMetaStreamEvent, List<ExpressionExecutor> incomingExpressionExecutors, List<IncrementalAttributeAggregator> incrementalAttributeAggregators) {
List<Attribute> finalBaseAttributes = new ArrayList<>();
List<Expression> finalBaseAggregators = new ArrayList<>();
for (IncrementalAttributeAggregator incrementalAttributeAggregator : incrementalAttributeAggregators) {
Attribute[] baseAttributes = incrementalAttributeAggregator.getBaseAttributes();
Expression[] baseAttributeInitialValues = incrementalAttributeAggregator.getBaseAttributeInitialValues();
Expression[] baseAggregators = incrementalAttributeAggregator.getBaseAggregators();
for (int i = 0; i < baseAttributes.length; i++) {
validateBaseAggregators(incrementalAttributeAggregators, incrementalAttributeAggregator, baseAttributes, baseAttributeInitialValues, baseAggregators, i);
if (!finalBaseAttributes.contains(baseAttributes[i])) {
finalBaseAttributes.add(baseAttributes[i]);
finalBaseAggregators.add(baseAggregators[i]);
incomingMetaStreamEvent.addOutputData(baseAttributes[i]);
incomingExpressionExecutors.add(ExpressionParser.parseExpression(baseAttributeInitialValues[i], incomingMetaStreamEvent, 0, tableMap, incomingVariableExpressionExecutors, siddhiAppContext, false, 0, aggregatorName));
}
}
}
return finalBaseAggregators;
}
use of org.wso2.siddhi.core.executor.ExpressionExecutor in project siddhi by wso2.
the class AggregationParser method parse.
public static AggregationRuntime parse(AggregationDefinition aggregationDefinition, SiddhiAppContext siddhiAppContext, Map<String, AbstractDefinition> streamDefinitionMap, Map<String, AbstractDefinition> tableDefinitionMap, Map<String, AbstractDefinition> windowDefinitionMap, Map<String, AbstractDefinition> aggregationDefinitionMap, Map<String, Table> tableMap, Map<String, Window> windowMap, Map<String, AggregationRuntime> aggregationMap, SiddhiAppRuntimeBuilder siddhiAppRuntimeBuilder) {
if (aggregationDefinition == null) {
throw new SiddhiAppCreationException("AggregationDefinition instance is null. " + "Hence, can't create the siddhi app '" + siddhiAppContext.getName() + "'");
}
if (aggregationDefinition.getTimePeriod() == null) {
throw new SiddhiAppCreationException("AggregationDefinition '" + aggregationDefinition.getId() + "'s timePeriod is null. " + "Hence, can't create the siddhi app '" + siddhiAppContext.getName() + "'", aggregationDefinition.getQueryContextStartIndex(), aggregationDefinition.getQueryContextEndIndex());
}
if (aggregationDefinition.getSelector() == null) {
throw new SiddhiAppCreationException("AggregationDefinition '" + aggregationDefinition.getId() + "'s selection is not defined. " + "Hence, can't create the siddhi app '" + siddhiAppContext.getName() + "'", aggregationDefinition.getQueryContextStartIndex(), aggregationDefinition.getQueryContextEndIndex());
}
if (streamDefinitionMap.get(aggregationDefinition.getBasicSingleInputStream().getStreamId()) == null) {
throw new SiddhiAppCreationException("Stream " + aggregationDefinition.getBasicSingleInputStream().getStreamId() + " has not been defined");
}
try {
List<VariableExpressionExecutor> incomingVariableExpressionExecutors = new ArrayList<>();
String aggregatorName = aggregationDefinition.getId();
StreamRuntime streamRuntime = InputStreamParser.parse(aggregationDefinition.getBasicSingleInputStream(), siddhiAppContext, streamDefinitionMap, tableDefinitionMap, windowDefinitionMap, aggregationDefinitionMap, tableMap, windowMap, aggregationMap, incomingVariableExpressionExecutors, null, false, aggregatorName);
// Get original meta for later use.
MetaStreamEvent incomingMetaStreamEvent = (MetaStreamEvent) streamRuntime.getMetaComplexEvent();
// Create new meta stream event.
// This must hold the timestamp, group by attributes (if given) and the incremental attributes, in
// onAfterWindowData array
// Example format: AGG_TIMESTAMP, groupByAttribute1, groupByAttribute2, AGG_incAttribute1, AGG_incAttribute2
// AGG_incAttribute1, AGG_incAttribute2 would have the same attribute names as in
// finalListOfIncrementalAttributes
// To enter data as onAfterWindowData
incomingMetaStreamEvent.initializeAfterWindowData();
List<ExpressionExecutor> incomingExpressionExecutors = new ArrayList<>();
List<IncrementalAttributeAggregator> incrementalAttributeAggregators = new ArrayList<>();
List<Variable> groupByVariableList = aggregationDefinition.getSelector().getGroupByList();
boolean isProcessingOnExternalTime = aggregationDefinition.getAggregateAttribute() != null;
// Expressions to get
List<Expression> outputExpressions = new ArrayList<>();
// final aggregate outputs. e.g avg = sum/count
// Expression executors to get
List<ExpressionExecutor> outputExpressionExecutors = new ArrayList<>();
// final aggregate outputs. e.g avg = sum/count
populateIncomingAggregatorsAndExecutors(aggregationDefinition, siddhiAppContext, tableMap, incomingVariableExpressionExecutors, aggregatorName, incomingMetaStreamEvent, incomingExpressionExecutors, incrementalAttributeAggregators, groupByVariableList, outputExpressions);
int baseAggregatorBeginIndex = incomingMetaStreamEvent.getOutputData().size();
List<Expression> finalBaseAggregators = getFinalBaseAggregators(siddhiAppContext, tableMap, incomingVariableExpressionExecutors, aggregatorName, incomingMetaStreamEvent, incomingExpressionExecutors, incrementalAttributeAggregators);
StreamDefinition incomingOutputStreamDefinition = StreamDefinition.id("");
incomingOutputStreamDefinition.setQueryContextStartIndex(aggregationDefinition.getQueryContextStartIndex());
incomingOutputStreamDefinition.setQueryContextEndIndex(aggregationDefinition.getQueryContextEndIndex());
MetaStreamEvent processedMetaStreamEvent = new MetaStreamEvent();
for (Attribute attribute : incomingMetaStreamEvent.getOutputData()) {
incomingOutputStreamDefinition.attribute(attribute.getName(), attribute.getType());
processedMetaStreamEvent.addOutputData(attribute);
}
incomingMetaStreamEvent.setOutputDefinition(incomingOutputStreamDefinition);
processedMetaStreamEvent.addInputDefinition(incomingOutputStreamDefinition);
processedMetaStreamEvent.setOutputDefinition(incomingOutputStreamDefinition);
// Executors of processing meta
List<VariableExpressionExecutor> processVariableExpressionExecutors = new ArrayList<>();
boolean groupBy = aggregationDefinition.getSelector().getGroupByList().size() != 0;
List<ExpressionExecutor> processExpressionExecutors = constructProcessExpressionExecutors(siddhiAppContext, tableMap, aggregatorName, baseAggregatorBeginIndex, finalBaseAggregators, incomingOutputStreamDefinition, processedMetaStreamEvent, processVariableExpressionExecutors, groupBy);
outputExpressionExecutors.addAll(outputExpressions.stream().map(expression -> ExpressionParser.parseExpression(expression, processedMetaStreamEvent, 0, tableMap, processVariableExpressionExecutors, siddhiAppContext, groupBy, 0, aggregatorName)).collect(Collectors.toList()));
// Create group by key generator
GroupByKeyGenerator groupByKeyGenerator = null;
if (groupBy) {
groupByKeyGenerator = new GroupByKeyGenerator(groupByVariableList, processedMetaStreamEvent, SiddhiConstants.UNKNOWN_STATE, tableMap, processVariableExpressionExecutors, siddhiAppContext, aggregatorName);
}
// Create new scheduler
EntryValveExecutor entryValveExecutor = new EntryValveExecutor(siddhiAppContext);
LockWrapper lockWrapper = new LockWrapper(aggregatorName);
lockWrapper.setLock(new ReentrantLock());
Scheduler scheduler = SchedulerParser.parse(siddhiAppContext.getScheduledExecutorService(), entryValveExecutor, siddhiAppContext);
scheduler.init(lockWrapper, aggregatorName);
scheduler.setStreamEventPool(new StreamEventPool(processedMetaStreamEvent, 10));
QueryParserHelper.reduceMetaComplexEvent(incomingMetaStreamEvent);
QueryParserHelper.reduceMetaComplexEvent(processedMetaStreamEvent);
QueryParserHelper.updateVariablePosition(incomingMetaStreamEvent, incomingVariableExpressionExecutors);
QueryParserHelper.updateVariablePosition(processedMetaStreamEvent, processVariableExpressionExecutors);
List<TimePeriod.Duration> incrementalDurations = getSortedPeriods(aggregationDefinition.getTimePeriod());
Map<TimePeriod.Duration, Table> aggregationTables = initDefaultTables(aggregatorName, incrementalDurations, processedMetaStreamEvent.getOutputStreamDefinition(), siddhiAppRuntimeBuilder, aggregationDefinition.getAnnotations(), groupByVariableList);
int bufferSize = 0;
Element element = AnnotationHelper.getAnnotationElement(SiddhiConstants.ANNOTATION_BUFFER_SIZE, null, aggregationDefinition.getAnnotations());
if (element != null) {
try {
bufferSize = Integer.parseInt(element.getValue());
} catch (NumberFormatException e) {
throw new SiddhiAppCreationException(e.getMessage() + ": BufferSize must be an integer");
}
}
if (bufferSize > 0) {
TimePeriod.Duration rootDuration = incrementalDurations.get(0);
if (rootDuration == TimePeriod.Duration.MONTHS || rootDuration == TimePeriod.Duration.YEARS) {
throw new SiddhiAppCreationException("A buffer size greater than 0 can be provided, only when the " + "first duration value is seconds, minutes, hours or days");
}
if (!isProcessingOnExternalTime) {
throw new SiddhiAppCreationException("Buffer size cannot be specified when events are aggregated " + "based on event arrival time.");
// Buffer size is used to process out of order events. However, events would never be out of
// order if they are processed based on event arrival time.
}
} else if (bufferSize < 0) {
throw new SiddhiAppCreationException("Expected a positive integer as the buffer size, but found " + bufferSize + " as the provided value");
}
boolean ignoreEventsOlderThanBuffer = false;
element = AnnotationHelper.getAnnotationElement(SiddhiConstants.ANNOTATION_IGNORE_EVENTS_OLDER_THAN_BUFFER, null, aggregationDefinition.getAnnotations());
if (element != null) {
if (element.getValue().equalsIgnoreCase("true")) {
ignoreEventsOlderThanBuffer = true;
} else if (!element.getValue().equalsIgnoreCase("false")) {
throw new SiddhiAppCreationException("IgnoreEventsOlderThanBuffer value must " + "be true or false");
}
}
Map<TimePeriod.Duration, IncrementalExecutor> incrementalExecutorMap = buildIncrementalExecutors(isProcessingOnExternalTime, processedMetaStreamEvent, processExpressionExecutors, groupByKeyGenerator, bufferSize, ignoreEventsOlderThanBuffer, incrementalDurations, aggregationTables, siddhiAppContext, aggregatorName);
// Recreate in-memory data from tables
RecreateInMemoryData recreateInMemoryData = new RecreateInMemoryData(incrementalDurations, aggregationTables, incrementalExecutorMap, siddhiAppContext, processedMetaStreamEvent, tableMap, windowMap, aggregationMap);
IncrementalExecutor rootIncrementalExecutor = incrementalExecutorMap.get(incrementalDurations.get(0));
rootIncrementalExecutor.setScheduler(scheduler);
// Connect entry valve to root incremental executor
entryValveExecutor.setNextExecutor(rootIncrementalExecutor);
QueryParserHelper.initStreamRuntime(streamRuntime, incomingMetaStreamEvent, lockWrapper, aggregatorName);
LatencyTracker latencyTrackerFind = null;
LatencyTracker latencyTrackerInsert = null;
ThroughputTracker throughputTrackerFind = null;
ThroughputTracker throughputTrackerInsert = null;
if (siddhiAppContext.getStatisticsManager() != null) {
latencyTrackerFind = QueryParserHelper.createLatencyTracker(siddhiAppContext, aggregationDefinition.getId(), SiddhiConstants.METRIC_INFIX_WINDOWS, SiddhiConstants.METRIC_TYPE_FIND);
latencyTrackerInsert = QueryParserHelper.createLatencyTracker(siddhiAppContext, aggregationDefinition.getId(), SiddhiConstants.METRIC_INFIX_WINDOWS, SiddhiConstants.METRIC_TYPE_INSERT);
throughputTrackerFind = QueryParserHelper.createThroughputTracker(siddhiAppContext, aggregationDefinition.getId(), SiddhiConstants.METRIC_INFIX_WINDOWS, SiddhiConstants.METRIC_TYPE_FIND);
throughputTrackerInsert = QueryParserHelper.createThroughputTracker(siddhiAppContext, aggregationDefinition.getId(), SiddhiConstants.METRIC_INFIX_WINDOWS, SiddhiConstants.METRIC_TYPE_INSERT);
}
streamRuntime.setCommonProcessor(new IncrementalAggregationProcessor(rootIncrementalExecutor, incomingExpressionExecutors, processedMetaStreamEvent, latencyTrackerInsert, throughputTrackerInsert, siddhiAppContext));
List<ExpressionExecutor> baseExecutors = cloneExpressionExecutors(processExpressionExecutors);
ExpressionExecutor timestampExecutor = baseExecutors.remove(0);
return new AggregationRuntime(aggregationDefinition, incrementalExecutorMap, aggregationTables, ((SingleStreamRuntime) streamRuntime), entryValveExecutor, incrementalDurations, siddhiAppContext, baseExecutors, timestampExecutor, processedMetaStreamEvent, outputExpressionExecutors, latencyTrackerFind, throughputTrackerFind, recreateInMemoryData);
} catch (Throwable t) {
ExceptionUtil.populateQueryContext(t, aggregationDefinition, siddhiAppContext);
throw t;
}
}
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